Finding Patterns of Students from Activity Data

Dumitru Dan Burdescu, Marian Cristian Mihăescu, Costel Marian Ionascu, and Bogdan Logofatu

Keywords

eLearning platform, user activity, pattern, EM clustering method

Abstract

We have developed an E-Learning platform that is currently used by more than 350 students. The main goal of the platform is to bring together professors and students in a collaborative environment managed by secretaries and supervised by an administrator. The software architecture is implemented as a scalable application due to using MVC (Model-View-Controller) paradigm. The user traffic on the platform in monitored and saved for off-line analysis. We employ clustering methods in order to find patterns of students. The final goal is to obtain a set of clusters such that each cluster contains students that have similar pattern of behavior. The obtained patterns are based on the performed activities of learners.

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